Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, China.
Eur J Neurol. 2014;21(1):124-9. doi: 10.1111/ene.12265. Epub 2013 Sep 16.
It is important to have an estimate of the incidence of Guillain-Barré syndrome (GBS) because of the expansion of vaccination programs and the associated risks of vaccine-related GBS. Incidence information in Asia, especially in China, is scarce. This study attempts to describe GBS incidence in large Chinese populations located in three geographically different and moderately distant areas of the same province.
The surveyed areas were Nanjing, Yancheng and Xuzhou, which are three cities in Jiangsu province in China. Nanjing is in the south of Jiangsu province, Yancheng is in the middle and Xuzhou is in the north. The survey was carried out in regions that might have received patients meeting the case definition from 2008 to 2010. The population numbers came from the local Bureau of Statistics. Data analysis was conducted in 2011.
The incidence of GBS was 0.59 cases per 100,000 person-years. The GBS incidence increased with age amongst people <80 years old. Males had a higher incidence of GBS than females. GBS incidence in Nanjing was the highest amongst the three regions.
The incidence rates in parts of Jiangsu province were lower than those in Europe and North America. There was one peak in incidence amongst older adults (70-80 years). Geographical differences in GBS incidence rates may be related to socioeconomic status. There were no significant seasonal variations of incidence in Jiangsu.
由于疫苗接种计划的扩大以及与疫苗相关的格林-巴利综合征(GBS)的相关风险,了解 GBS 的发病率非常重要。亚洲,尤其是中国的发病率信息十分匮乏。本研究试图描述同一省份三个地理位置不同且相距适中的地区的中国大人群中的 GBS 发病率。
调查地区为中国江苏省的三个城市:南京、盐城和徐州。南京位于江苏省南部,盐城位于江苏省中部,徐州位于江苏省北部。调查覆盖了可能接收符合病例定义的患者的区域,调查时间为 2008 年至 2010 年。人口数量来自当地统计局。数据分析于 2011 年进行。
GBS 的发病率为 0.59 例/10 万人年。80 岁以下人群的 GBS 发病率随年龄增长而增加。男性的 GBS 发病率高于女性。三个地区中,南京的 GBS 发病率最高。
江苏省部分地区的发病率低于欧洲和北美的发病率。在老年人群(70-80 岁)中存在一个发病高峰。GBS 发病率的地理差异可能与社会经济地位有关。江苏省的发病率没有明显的季节性变化。